Job Description:
Will provide leadership in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, inflamome, transcriptome, epigenome, and genome, as well as in the integration of such with electronic medical record platforms. He or she will also have a proven academic track record of innovation in one or more these. The computational and database systems developed by the applicant will be used to gather, generate, and track patient data and develop medically actionable hypotheses. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. Data analysis plans will need to be established for each project, project tracking, outcome monitoring and manuscript generation. POSITION RESPONSIBILITIES: The Computational Bioinformatics Analyst at Sanford will provide leadership in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, inflamome, transcriptome, epigenome, and genome, as well as in the integration of such with electronic medical record platforms. He or she will also have a proven academic track record of innovation in one or more these. The computational and database systems developed by the applicant will be used to gather, generate, and track patient data and develop medically actionable hypotheses. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. Data analysis plans will need to be established for each project, project tracking, outcome monitoring and manuscript generation. QUALIFICATIONS: An M.S. or Ph.D. is required. Experience in bioinformatics or a closely related field is required including demonstrated experience in next generation sequence analysis. Experience with electronic medical record (EMR) APIs and interfaces and movement of data out of and into EMRs is desirable. Experience programing in Python, Perl, R, and Java desirable. Experience with the integration and management of multiple data sources, workflows and enabling integrated management of and reporting on those data and processes through graphical user interfaces desirable. Preference will be given to individuals with expertise in genetic / epigenetic analyses and medical and/or research informatics experience. Essential to the applicant?s successful fulfillment of this role is a documented track record of academic and technical productivity.
Additional Info:
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Will provide leadership in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, inflamome, transcriptome, epigenome, and genome, as well as in the integration of such with electronic medical record platforms. He or she will also have a proven academic track record of innovation in one or more these. The computational and database systems developed by the applicant will be used to gather, generate, and track patient data and develop medically actionable hypotheses. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. Data analysis plans will need to be established for each project, project tracking, outcome monitoring and manuscript generation. POSITION RESPONSIBILITIES: The Computational Bioinformatics Analyst at Sanford will provide leadership in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, inflamome, transcriptome, epigenome, and genome, as well as in the integration of such with electronic medical record platforms. He or she will also have a proven academic track record of innovation in one or more these. The computational and database systems developed by the applicant will be used to gather, generate, and track patient data and develop medically actionable hypotheses. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. Data analysis plans will need to be established for each project, project tracking, outcome monitoring and manuscript generation. QUALIFICATIONS: An M.S. or Ph.D. is required. Experience in bioinformatics or a closely related field is required including demonstrated experience in next generation sequence analysis. Experience with electronic medical record (EMR) APIs and interfaces and movement of data out of and into EMRs is desirable. Experience programing in Python, Perl, R, and Java desirable. Experience with the integration and management of multiple data sources, workflows and enabling integrated management of and reporting on those data and processes through graphical user interfaces desirable. Preference will be given to individuals with expertise in genetic / epigenetic analyses and medical and/or research informatics experience. Essential to the applicant?s successful fulfillment of this role is a documented track record of academic and technical productivity.
Requeriments :
Skills :
- Genetics
- Next Generation Sequencing
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
Areas :
Additional Info:
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